Global stability of general cholera models with nonlinear incidence and removal rates

被引:44
作者
Wang, Yi [1 ,2 ]
Cao, Jinde [1 ,3 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[2] Univ Victoria, Dept Math & Stat, Victoria, BC V8W 3R4, Canada
[3] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2015年 / 352卷 / 06期
基金
中国国家自然科学基金;
关键词
EPIDEMIC; DYNAMICS; TRANSMISSION; INFECTION; PATHOGEN; DISEASES; NUMBERS; HOST;
D O I
10.1016/j.jfranklin.2015.03.030
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the real world, cholera may be transmitted through both direct human-to-human and indirect water-to-human mechanisms, but most of the previous studies assume linear progression rates for multistage models or linear death rate of infected individuals, which limits well understanding of the transmission dynamics of cholera. In this paper, we formulate a general compartmental multistage cholera model that incorporates nonlinear host recruitment, nonlinear incidence, nonlinear removal and nonlinear progression rates. Under biologically motivated assumptions, the basic reproduction number R-0 is derived in detail, and presents a sharp threshold property. In particular, if R-0 < 1, the disease-free equilibrium is globally asymptotically stable, and cholera dies out from all stages of host and water independent of initial burden; whereas if R-0 > 1, by employing Lyapunov functions and graph-theoretic results the endemic equilibrium is globally asymptotically stable, which also guarantees its uniqueness. The results are of biological significance for devising control strategies and possible extensions of the model are also discussed. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2464 / 2485
页数:22
相关论文
共 50 条
  • [31] Global stability analysis of a delayed viral infection model with antibodies and general nonlinear incidence rate
    Elaiw, A. M.
    AlShamrani, N. H.
    Alghamdi, M. A.
    JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS, 2016, 20 (02) : 277 - 295
  • [32] Stability analyses of deterministic and stochastic SEIRI epidemic models with nonlinear incidence rates and distributed delay
    Zhang, Hong
    Xia, Juan
    Georgescu, Paul
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2017, 22 (01): : 64 - 83
  • [33] Global stability of equilibria of a diffusive SEIR epidemic model with nonlinear incidence
    Han, Shuyu
    Lei, Chengxia
    APPLIED MATHEMATICS LETTERS, 2019, 98 : 114 - 120
  • [34] Global stability of a discrete multigroup SIR model with nonlinear incidence rate
    Zhou, Jinling
    Yang, Yu
    Zhang, Tonghua
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2017, 40 (14) : 5370 - 5379
  • [35] Global stability of a stage-structured epidemic model with a nonlinear incidence
    Cai, Li-Ming
    Li, Xue-Zhi
    Ghosh, Mini
    APPLIED MATHEMATICS AND COMPUTATION, 2009, 214 (01) : 73 - 82
  • [36] Global stability of a diffusive HCV infections epidemic model with nonlinear incidence
    Su, Ruyan
    Yang, Wensheng
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 68 (04) : 2685 - 2697
  • [37] Global stability for SIRS epidemic models with general incidence rate and transfer from infectious to susceptible
    Avila-Vales, Eric J.
    Cervantes-Perez, Angel G.
    BOLETIN DE LA SOCIEDAD MATEMATICA MEXICANA, 2019, 25 (03): : 637 - 658
  • [38] Global stability of vaccine-age/staged-structured epidemic models with nonlinear incidence
    Li, Jianquan
    Yang, Yali
    Wu, Jianhong
    Song, Xiuchao
    ELECTRONIC JOURNAL OF QUALITATIVE THEORY OF DIFFERENTIAL EQUATIONS, 2016, (18) : 1 - 17
  • [39] Global Stability for a Diffusive Infection Model with Nonlinear Incidence
    Liu, Xiaolan
    Zhu, Cheng-Cheng
    Srivastava, Hari Mohan
    Xu, Hongyan
    MATHEMATICS, 2022, 10 (22)
  • [40] Global Dynamics for an Age-Structured Cholera Infection Model with General Infection Rates
    Jiang, Xin
    MATHEMATICS, 2021, 9 (23)